www.pudn.com > firev0.01.rar > gaussiandensity.hpp

/*
This file is part of the FIRE -- Flexible Image Retrieval System

FIRE is free software; you can redistribute it and/or modify
it under the terms of the GNU General Public License as published by
the Free Software Foundation; either version 2 of the License, or
(at your option) any later version.

FIRE is distributed in the hope that it will be useful,
but WITHOUT ANY WARRANTY; without even the implied warranty of
MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE.  See the
GNU General Public License for more details.

You should have received a copy of the GNU General Public License
along with FIRE; if not, write to the Free Software
Foundation, Inc., 59 Temple Place, Suite 330, Boston, MA  02111-1307  USA
*/
/**
 * @file   gaussiandensity.hpp
 * @author Thomas Deselaers
 * @date   Tue Jun 24 19:20:34 2003
 * 
 * @brief A class to represent a gaussian distribution.
 * 
 */
#ifndef __gaussian_density_hpp
#define __gaussian_density_hpp

#include 


class GaussianDensity {
public:
  /** 
   * default constructor.
   * 
   */
  GaussianDensity() {
    elements=0;
  }

  /** 
   * constructor, describing the dimensionality of the data to be
   * described.
   * 
   * @param dim the dimensionality of the data.
   */
  GaussianDensity(const unsigned int dim) {
    elements=0;
    mean=::std::vector(dim,0.0);
    sigma=::std::vector(dim,0.0);
  }


  /** 
   * copy constructor.
   * 
   * @param from object to be copied.
   */
  GaussianDensity(const GaussianDensity& from) {
    elements=from.elements;
    mean=from.mean;
    sigma=from.sigma;
  }

  /** 
   * copy operator.
   * 
   * @param rhs 
   * 
   */
  const GaussianDensity operator=(const GaussianDensity& rhs) {
    elements=rhs.elements;
    mean=rhs.mean;
    sigma=rhs.sigma;
    return *this;
  }

  ::std::vector mean;
  ::std::vector sigma;
  unsigned int elements;
};


inline std::ostream & operator<<(::std::ostream& os, const GaussianDensity &src) {
  os << "GaussianDensity: elements=" << src.elements << " dim=" << src.mean.size() << ::std::endl;
  for(unsigned int i=0;i